yao/openapi/llm/llm.go
Max 756ff95d3f feat(llm): enhance capabilities management with embedding and image generation support
- Added support for embedding and image generation capabilities in the capabilitiesFromMap function.
- Updated the ToMap method to delegate to the canonical Capabilities.ToMap() method, simplifying the conversion process.
- Enhanced the capabilities handling in various components, including filters for non-chat models in OpenAPI settings.
- Introduced utility functions for filter checking and non-chat model identification, improving overall capabilities management.
2026-05-02 14:45:31 +08:00

193 lines
5.1 KiB
Go

package llm
import (
"strings"
"github.com/gin-gonic/gin"
"github.com/yaoapp/gou/connector"
agentllm "github.com/yaoapp/yao/agent/llm"
"github.com/yaoapp/yao/llmprovider"
"github.com/yaoapp/yao/openapi/oauth/authorized"
oauthTypes "github.com/yaoapp/yao/openapi/oauth/types"
"github.com/yaoapp/yao/openapi/response"
)
// Provider represents an LLM provider option
type Provider struct {
Label string `json:"label"`
Value string `json:"value"`
Type string `json:"type"` // "openai"
Builtin bool `json:"builtin"` // true for system built-in, false for user-defined
Capabilities map[string]interface{} `json:"capabilities"` // Model capabilities from connector settings
}
// Attach attaches the LLM management handlers to the router with OAuth protection
func Attach(group *gin.RouterGroup, oauth oauthTypes.OAuth) {
// Create providers group with OAuth guard
group.Use(oauth.Guard)
// LLM Providers endpoints
group.GET("/providers", listProviders) // GET /providers - List all LLM providers
}
// listProviders lists all available LLM providers (built-in + user-defined)
// Supports filtering by capabilities using query parameter: ?filters=vision,tool_calls,audio
func listProviders(c *gin.Context) {
allProviders := make([]Provider, 0)
filtersParam := c.Query("filters")
var filters []string
if filtersParam != "" {
filters = strings.Split(filtersParam, ",")
for i, filter := range filters {
filters[i] = strings.TrimSpace(strings.ToLower(filter))
}
}
info := authorized.GetInfo(c)
var opts []connector.Option
if llmprovider.Global != nil {
opts = llmprovider.Global.ListModelsBy(info)
} else {
opts = connector.AIConnectors
}
for _, opt := range opts {
var conn connector.Connector
var err error
if llmprovider.Global != nil {
conn, err = llmprovider.Global.GetModel(opt.Value)
} else {
conn, err = connector.Select(opt.Value)
}
if err != nil {
continue
}
connType := connectorType(conn)
if connType != "openai" && connType != "anthropic" {
continue
}
capabilities := getCapabilitiesFromConn(conn)
if isNonChatModel(capabilities) && !hasFilter(filters, "embedding") && !hasFilter(filters, "image_generation") {
continue
}
if len(filters) > 0 && !matchesFilters(capabilities, filters) {
continue
}
allProviders = append(allProviders, Provider{
Label: opt.Label,
Value: opt.Value,
Type: connType,
Builtin: conn.GetMetaInfo().Builtin,
Capabilities: capabilities,
})
}
response.RespondWithSuccess(c, response.StatusOK, allProviders)
}
// connectorType returns the type string for a connector.
func connectorType(conn connector.Connector) string {
if conn.Is(connector.OPENAI) {
return "openai"
}
if conn.Is(connector.ANTHROPIC) {
return "anthropic"
}
return "unknown"
}
// getCapabilitiesFromConn extracts capabilities from connector settings
func getCapabilitiesFromConn(conn connector.Connector) map[string]interface{} {
if conn == nil {
return nil
}
caps := agentllm.GetCapabilitiesFromConn(conn)
return agentllm.ToMap(caps)
}
// isNonChatModel returns true if capabilities indicate a non-chat model (embedding or image generation).
func isNonChatModel(caps map[string]interface{}) bool {
if v, ok := caps["embedding"].(bool); ok && v {
return true
}
if v, ok := caps["image_generation"].(bool); ok && v {
return true
}
return false
}
// hasFilter checks whether a specific filter string is present in the filters list.
func hasFilter(filters []string, name string) bool {
for _, f := range filters {
if f == name {
return true
}
}
return false
}
// matchesFilters checks if capabilities match all requested filters
// Filters are matched case-insensitively and support the following capability keys:
// - vision: true or string value like "openai", "claude"
// - audio: bool (LLM supports audio input/understanding)
// - stt: bool (Speech-to-Text / audio transcription model, e.g. Whisper)
// - tool_calls: bool
// - reasoning: bool
// - streaming: bool
// - json: bool
// - multimodal: bool
// - embedding: bool
// - image_generation: bool
// - temperature_adjustable: bool
func matchesFilters(capabilities map[string]interface{}, filters []string) bool {
if capabilities == nil {
return false
}
// All filters must match (AND logic)
for _, filter := range filters {
matched := false
// Check each capability field
for key, value := range capabilities {
keyLower := strings.ToLower(key)
// Match the filter against capability key
if keyLower == filter {
// For vision, check if it's true or a non-empty string
if filter == "vision" {
if boolVal, ok := value.(bool); ok && boolVal {
matched = true
break
}
if strVal, ok := value.(string); ok && strVal != "" {
matched = true
break
}
} else {
// For other capabilities, check if it's true
if boolVal, ok := value.(bool); ok && boolVal {
matched = true
break
}
}
}
}
// If any filter doesn't match, return false
if !matched {
return false
}
}
return true
}